code: def test_multiclass_hinge_sgd_l1l2(data, request):
      X, y = request.getfixturevalue(data)
      clf = SGDClassifier(
          loss="hinge", penalty="l1/l2", multiclass=True, random_state=0
      )
      clf.fit(X, y)
      assert clf.score(X, y) > 0.75
  
file_path: lightning/lightning/impl/tests/test_sgd.py
imports: import numpy
  import pytest
  from sklearn.datasets import make_regression
  from lightning.impl.datasets.samples_generator import make_nn_regression
  from lightning.impl.sgd import SGDClassifier
  from lightning.impl.sgd import SGDRegressor
  from lightning.impl.tests.utils import check_predict_proba
label_desc: Use image node_id 6 for calling a global function with example usage: test_multiclass_hinge_sgd_l1l2(data, request) without return types